Multivariate ocean waves dynamics in North Sea and Norwegian Sea by Gaidai reliability method

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 2346 - 2355

Published: Aug. 23, 2024

Current study presents state-of-the-art approach for evaluating spatiotemporal multivariate environmental risks, especially suitable complex systems that have been either numerically simulated or physically observed. Advocated methodology provides accurate hazard risk forecasts, based on real-time in situ data. Design of offshore structures requires assessment – and naval operations require both short- long-term reliability analyses. Contemporary evaluation techniques often struggle with raw timeseries data due to intrinsic multidimensionality nonlinear interconnections among critical system's dimensions/components. In the current effectiveness Gaidai method is illustrated by utilizing significant wave heights dataset, measured within two zones: Heidrun Troll Norwegian oil fields. Analyzing waves being particularly challenging their complexity, high nonlinearity, multidimensionality, yet dynamic inter-correlations. Global warming several factors, affecting ocean sea heights. For naval, marine operating harsh weather conditions, robust methods crucial design safe operations. aims validate benchmark methodology, enabling extraction. allows efficient global damages, failures risks a wide range energy systems. Primary advantage presented lies its ability treat practically unlimited number dimensions, while existing mostly limited univariate bivariate

Language: Английский

---

Applying the multivariate Gaidai reliability method in combination with an efficient deconvolution scheme to prediction of extreme ocean wave heights

Marine Systems & Ocean Technology, Journal Year: 2024, Volume and Issue: 19(1-2), P. 165 - 178

Published: Aug. 9, 2024

Language: Английский

---

Panamax cargo-vessel excessive-roll dynamics based on novel deconvolution method

Probabilistic Engineering Mechanics, Journal Year: 2024, Volume and Issue: 77, P. 103676 - 103676

Published: July 1, 2024

Language: Английский

---

ocean windspeeds forecast by Gaidai multivariate risk assessment method, utilizing deconvolution scheme

Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102796 - 102796

Published: Aug. 28, 2024

Language: Английский

---

Design prognostics for 4400 TEU container vessel by multi‐variate Gaidai reliability approach

IET Intelligent Transport Systems, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

Abstract This case study introduces an innovative multivariate methodology for assessing the lifetime of marine engineering systems, specifically in cargo vessel transportation. The analysis focused on stress data collected onboard a 4400 TEU container during multiple trans‐Atlantic voyages. One major challenges transport lies mitigating risk loss due to excessive whipping loads. Accurate prediction extreme levels deck panels remains difficult, primarily because nonlinear and non‐stationary nature wave ship motion interactions. Higher‐order dynamic effects, such as second‐ third‐order responses, often become significant when ships operate under adverse environmental conditions, amplifying influences. Laboratory simulations, constrained by characteristics scale similarity issues, may not always provide reliable results. Consequently, from vessels navigating weather conditions serves critical resource comprehensive assessment. primary goal this was validate demonstrate effectiveness novel evaluation approach, leveraging measurements areal pressure core dataset. Gaidai proved be robust tool failure, hazard, damage risks complex, panel hull systems.

Language: Английский

---

Multivariate spatiotemporal windspeeds prognostics across parts of Pacific Ocean using the Gaidai risk assessment approach

Spatial Information Research, Journal Year: 2025, Volume and Issue: 33(1)

Published: Jan. 22, 2025

Language: Английский

---

State-of-the-art Gaidai hypersurface risk assessment for semi-submersible wind turbines, accounting for memory effects

Energy Conversion and Management X, Journal Year: 2025, Volume and Issue: unknown, P. 100946 - 100946

Published: Feb. 1, 2025

Language: Английский

---

Lifetime assessment for container ship by multimodal Gaidai risk evaluation method

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1)

Published: Jan. 6, 2025

This study presents a novel lifetime assessment technique that may be used in cargo vessel transportation marine engineering applications. onboard measured 4400 TEU container ship panel stress data was analyzed, the during numerous trans-Atlantic crossings. The risk of loss caused by excessive whipping loads is one key issues with transportation. It challenging to predict accuracy deck stresses due complex nonlinear and nonstationary properties wave motions. 2nd higher order motion effects are typically observed when sailing severe, stormy environment, influence nonlinearity grows noticeably. Depending on flow characteristics similarity ratios employed, laboratory testing also dispute. Because this, information acquired from ships operating extreme weather conditions offers unique insight into risks evaluation, as whole. highlights multidimensional reliability approach, based inherent qualities multivariate raw underlying dataset itself. main objective current had been benchmark Gaidai using areal pressure dynamic system dataset. evaluation methodology enabled efficient failure, hazard or damage for variety non-linear hull systems.

Language: Английский

---

Experimental Gaidai multi-modal risk assessment approach for wind energy harvesters

Applications in Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 100209 - 100209

Published: Feb. 1, 2025

Language: Английский

---

Multi-variate structural reliability assessment for wind energy harvester by Gaidai risk assessment method

Mechanics Based Design of Structures and Machines, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: April 10, 2025

Language: Английский

---